Article
Energy & Fuels
Enrico Dalla Maria, Mattia Dallapiccola, Davide Aloisio, Giovanni Brunaccini, Francesco Sergi, David Moser, Grazia Barchi
Summary: This paper presents a novel data-driven parameter estimation procedure for high-current battery modelling, which has been applied to experimental measurement data conducted on Lithium Titanate batteries. The proposed methodology encompasses the entire process of parameter estimation, starting from raw experimental data. The validation results confirmed that the proposed approach had good modelling performance.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Automation & Control Systems
Chong Hu, Haibo Liu, Yan Ji
Summary: This article aims to design an effective model and optimization method to describe and analyze the operating characteristics of the lithium-ion battery based on online measurement data. By exploiting the memory superiorities of the fractional-order, the fractional-order controlled autoregressive model is derived, which includes the electrochemical impedance spectroscopy and the n-RC equivalent circuit model. The approach designs a new gradient direction and fully utilizes the data from the lithium-ion battery by adding a suitable weighted factor. The experimental simulation result shows the performance of the proposed algorithms.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Ao Zhang, Jianjun Gao
Summary: This article performs a comprehensive analysis of small-signal equivalent circuit models for GaAs-based PIN diodes. The analysis provides equivalent circuit models for PIN diode operation in four different modes. A compact nonlinear equivalent circuit model is developed, taking into account the frequency dispersion of the diode dynamic resistance. The proposed circuit model is validated through comparison with measurement data, showing good fitting for GaAs-based PIN diodes.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Electrochemistry
Xueyi Hao, Shunli Wang, Yongcun Fan, Yawen Liang, Yangtao Wang, Carlos Fernandez
Summary: Accurate prediction of the remaining range for electric vehicles is still a challenge. The state of energy (SOE), which represents the remaining mileage and charge of a lithium-ion battery, is crucial for predicting the remaining range. To achieve high accuracy in describing and identifying SOE parameters, a parameter identification method using an improved particle swarm optimization algorithm with a compression factor is proposed. A particle filter (PF) is employed to estimate the energy state, using the unscented particle filtering (UPF) algorithm with particle swarm optimization (PSO) to overcome the limitations of particle degradation and insufficient diversity in particle filtering. Experimental results demonstrate that the proposed algorithm achieves an estimation error within 0.97% at 25 degrees and within 1.29% at 5 degrees for all three operating conditions. This indicates that the algorithm exhibits high accuracy and robustness across different temperatures and working conditions, and validates the effectiveness of energy state estimation.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2023)
Article
Mathematics, Applied
Liping Chen, Xiaobo Wu, Antonio M. Lopes, Xin Li, Penghua Li, Ranchao Wu
Summary: In this paper, a novel complex-order equivalent circuit model (Co-ECM) is proposed for lithium-ion battery state of charge (SOC) estimation. The Co-ECM considers the nonlinear characteristics and temporal behavior of the system by using complex derivatives. Experimental results demonstrate that the Co-ECM achieves high accuracy in SOC estimation across different temperatures, and exhibits strong robustness against noisy information.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Article
Electrochemistry
Hyeonwoo Cho, Changbeom Hong, Daeki Hong, Se-Kyu Oh, Yeonsoo Kim
Summary: The equivalent circuit model (ECM) is integrated with an energy balance model to accurately calculate the terminal voltage and temperature of high-capacity Li-ion batteries used in hybrid electric and electric vehicles. Improved model structures and parameter estimation strategies are proposed to effectively characterize these batteries. Experimental data and the genetic algorithm (GA) are used to estimate ECM parameters, with a validation showing calculation errors of less than 1.71% and 3.51% for voltage and temperature, respectively.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2023)
Article
Computer Science, Information Systems
Kazuya Tada
Summary: Equivalent circuit models are important tools in understanding and designing solar cells. This paper presents a method to accelerate the computation of Bayesian estimation of equivalent circuit parameters by upgrading the statistical package PyMC to its latest version PyMC 4, which supports the use of JAX. The acceleration effect of JAX is remarkable, achieving a calculation time of less than 1/20 times that of the previous method.
Article
Energy & Fuels
Giulio Barletta, Piera DiPrima, Davide Papurello
Summary: Lithium-ion batteries have proven to be one of the best choices among rechargeable batteries, with advantages such as small size, high energy density, and long lifespan. Accurate definition of battery behavior parameters is crucial for certain fields like electric vehicles. The proposed model can monitor the key parameters of the equivalent circuit with an error between 7 and 10%.
Article
Energy & Fuels
Qian Yue, Guangwei Liu, Zhenyao Xu, Deming Xiong, Zhihuan Song
Summary: This paper introduces a new concept of high-speed permanent magnet synchronous machine (PMSMHES) with hybrid excitation on the stator to solve the problem of permanent magnet damage and non-reverse demagnetization caused by centrifugal force and high temperature. The PMSMHES adjusts the air gap magnetic field of the permanent magnet motor by using a hybrid excitation method, thereby expanding the constant power range of the motor. The equivalent magnetoelectric model and calculation method of PMSMHES are proposed and verified by finite element simulation.
Article
Physics, Applied
Kazuya Tada
Summary: The equivalent circuit model of a photovoltaic cell is helpful in understanding device loss mechanisms and in designing and analyzing systems that use photovoltaic cells. A data-driven approach using Bayesian estimation is proposed in this study to extract equivalent circuit parameters, which does not require tedious initial value adjustments and provides an estimation error unlike the conventional least-squares method.
APPLIED PHYSICS EXPRESS
(2021)
Article
Construction & Building Technology
Gabriel Malagon-Carvajal, C. F. M. Almeida, Cesar Duarte, Gabriel Ordonez-Plata, Nelson Kagan
Summary: This paper presents a method for estimating the parameters of an SMPS Equivalent Circuit Model through an optimization process, which improves the accuracy of parameter estimation by using data regression and limiting the parameter region with datasheets, measurements, and manufacturing standards. The method is helpful for various loads based on SMPSs in practical applications related to demand-side management or collective harmonic impact.
ENERGY AND BUILDINGS
(2021)
Article
Automation & Control Systems
Junlei Wang, Liya Zhao
Summary: This article investigates the influence of different voltage processing interface circuits on power generation performance in nonlinear galloping energy harvesting, finding that bistable and cubic hardening configurations outperform cubic softening configuration. The SCE circuit significantly boosts power generation for monostable designs but degrades performance for bistable design.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Chemistry, Physical
Changlong Li, Naxin Cui, Zhongrui Cui, Chunyu Wang, Chenghui Zhang
Summary: This study proposes a novel equivalent circuit model that considers the effect of nonlinear solid phase diffusion in lithium-ion batteries (LIBs). The model is validated through experiments and shows robustness and superior performance compared to conventional models. This model has important applications in battery management.
JOURNAL OF POWER SOURCES
(2022)
Article
Automation & Control Systems
Junlei Wang, Liya Zhao
Summary: This article investigates the influence of different voltage processing interface circuits on power generation performance in nonlinear galloping energy harvesting, finding that bistable and cubic hardening configurations outperform cubic softening configuration, and that the SCE circuit significantly boosts power generation for monostable harvesters while degrading performance for bistable design.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Energy & Fuels
Fuxiang Li, Wei Wu
Summary: This study proposes a novel multiphysics framework for realistic performance estimations of photovoltaic (PV) systems. The framework, consisting of an electrical sub-model and a thermal sub-model, is validated and shown to provide reliable performance estimations. Non-linear temperature-efficiency dependence and non-uniform temperature fields are observed in the results, emphasizing the importance of coupled simulation and 3-D simulation. Cross-comparisons with other methods demonstrate the superior performance of the proposed framework, with potential to advance PV system research and development.
Article
Chemistry, Physical
Tianyu Chen, Zhibin Lu, Guangjin Zeng, Yongmin Xie, Jie Xiao, Zhifeng Xu
Summary: The study introduces a high-performance LSGM electrolyte-supported tubular DC-SOFC stack for portable applications, which shows great potential in developing into high-performing, efficient, and environmentally friendly portable power sources for distributed applications.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Wenbin Tong, Yili Chen, Shijie Gong, Shaokun Zhu, Jie Tian, Jiaqian Qin, Wenyong Chen, Shuanghong Chen
Summary: In this study, a three-dimensional porous NiO interface layer with enhanced anode dynamics is fabricated, forming a Schottky contact with the zinc substrate, allowing rapid and uniform zinc plating both inside and below the interface layer. The resulting NiO@Zn exhibits exceptional stability and high capacity retention.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Yafeng Bai, Kaidi Li, Liying Wang, Yang Gao, Xuesong Li, Xijia Yang, Wei Lu
Summary: In this study, a flexible zinc ion supercapacitor with gel electrolytes, porous alpha-MnO2@reduced graphene oxide cathode, and activated carbon/carbon cloth anode was developed. The device exhibits excellent electrochemical performance and stability, even at low temperatures, with a high cycle retention rate after 5000 cycles.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Anmol Jnawali, Matt D. R. Kok, Francesco Iacoviello, Daniel J. L. Brett, Paul R. Shearing
Summary: This article presents the results of a systematic study on the electrochemical performance and mechanical changes in two types of commercial batteries with different anode chemistry. The study reveals that the swelling of anode layers in batteries with silicon-based components causes deformations in the jelly roll structure, but the presence of a small percentage of silicon does not significantly impact the cycling performance of the cells within the relevant state-of-health range for electric vehicles (EVs). The research suggests that there is room for improving the cell capacities by increasing the silicon loading in composite anodes to meet the increasing demands on EVs.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Yohandys A. Zulueta, My Phuong Pham-Ho, Minh Tho Nguyen
Summary: Advanced atomistic simulations were used to study ion transport in the Na- and K-doped lithium disilicate Li2Si2O5. The results showed that Na and K doping significantly enhanced Li ion diffusion and conduction in the material.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Zongying Han, Hui Dong, Yanru Yang, Hao Yu, Zhibin Yang
Summary: An efficient phase inversion-impregnation approach is developed to fabricate BaO-decorated Ni8 mol% YSZ anode-supported tubular solid oxide fuel cells (SOFCs) with anti-coking properties. BaO nanoislands are successfully introduced inside the Ni-YSZ anode, leading to higher peak power densities and improved stability in methane fuel. Density functional theory calculations suggest that the loading of BaO nanoislands facilitates carbon elimination by capturing and dissociating H2O molecules to generate OH.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Suresh Mamidi, Dan Na, Baeksang Yoon, Henu Sharma, Anil D. Pathak, Kisor Kumar Sahu, Dae Young Lee, Cheul-Ro Lee, Inseok Seo
Summary: Li-CO2 batteries, which utilize CO2 and have a high energy density, are hindered in practical applications due to slow kinetics and safety hazards. This study introduces a stable and highly conductive ceramic-based solid electrolyte and a metal-organic framework catalyst to improve the safety and performance of Li-CO2 batteries. The optimized Li-CO2 cell shows outstanding specific capacity and cycle life, and the post-cycling analysis reveals the degradation mechanism of the electrodes. First-principles calculations based on density functional theory are also performed to understand the interactions between the catalyst and the host electrode. This research demonstrates the potential of MOF cathode catalyst for stable operation in Li-CO2 batteries.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Ganghua Xiang, Zhihuan Qiu, Huilong Fei, Zhigang Liu, Shuangfeng Yin, Yuen Wu
Summary: In this study, a CeFeOx-supported Pt single atoms and subnanometric clusters catalyst was developed, which exhibits enhanced catalytic activity and stability for the preferential oxidation of CO in H2-rich stream through synergistic effect.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Dimitrios Chatzogiannakis, Marcus Fehse, Maria Angeles Cabanero, Natalia Romano, Ashley Black, Damien Saurel, M. Rosa Palacin, Montse Casas-Cabanas
Summary: By coupling electrochemical testing to operando synchrotron based X-ray absorption and powder diffraction experiments, blended positive electrodes consisting of LiMn2O4 spinel (LMO) and layered LiNi0.5Mn0.3Co0.2O2 (NMC) were studied to understand their redox mechanism. It was found that blending NMC with LMO can enhance energy density at high rates, with the blend containing 25% LMO showing the best performance. Testing with a special electrochemical setup revealed that the effective current load on each blend component can vary significantly from the nominal rate and also changes with SoC. Operando studies allowed monitoring of the oxidation state evolution and changes in crystal structure, in line with the expected behavior of individual components considering their electrochemical current loads.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Chiara Cementon, Daniel Dewar, Thrinathreddy Ramireddy, Michael Brennan, Alexey M. Glushenkov
Summary: This Perspective discusses the specific power and power density of lithium-ion capacitors, highlighting the fact that their power characteristics are often underestimated. Through analysis, it is found that lithium-ion capacitors can usually achieve power densities superior to electrochemical supercapacitors, making them excellent alternatives to supercapacitors.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Weihao Wang, Hao Yu, Li Ma, Youquan Zhang, Yuejiao Chen, Libao Chen, Guichao Kuang, Liangjun Zhou, Weifeng Wei
Summary: This study achieved an improved electrolyte with excellent low-temperature and high-voltage performance by regulating the Li+ solvation structure and highly concentrating it. The electrolyte exhibited outstanding oxidation potential and high ionic conductivity under low temperature and high voltage conditions, providing a promising approach for the practical application of high-voltage LIBs.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Martin Bures, Dan Gotz, Jiri Charvat, Milos Svoboda, Jaromir Pocedic, Juraj Kosek, Alexandr Zubov, Petr Mazur
Summary: Vanadium redox flow battery is a promising energy storage solution with long-term durability, non-flammability, and high overall efficiency. Researchers have developed a mathematical model to simulate the charge-discharge cycling of the battery, and found that hydraulic connection of electrolyte tanks is the most effective strategy to reduce capacity losses, achieving a 69% reduction.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
M. Rodriguez-Gomez, J. Campo, A. Orera, F. de La Fuente, J. Valenciano, H. Fricke, D. S. Hussey, Y. Chen, D. Yu, K. An, A. Larrea
Summary: In this study, we analysed the operando performance of industrial lead cells using neutron diffraction experiments. The experiments revealed the evolution of different phases in the positive electrode, showed significant inhomogeneity of phase distribution inside the electrode, and estimated the energy efficiency of the cells.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Jiawei Liu, Chenpeng Wang, Yue Yao, Hao Ye, Yinglong Liu, Yingli Liu, Xiaoru Xu, Zhicong Chen, Huazheng Yang, Gang Wu, Libin Lei, Chao Wang, Bo Liang
Summary: The study focuses on utilizing double conductive Ni-pads as anode collectors in micro-tubular solid oxide fuel cells. The simulation results show excellent performance and stability of DCNPs, and also highlight the potential applications in various fields.
JOURNAL OF POWER SOURCES
(2024)
Article
Chemistry, Physical
Yang Wang, Kangjie Zhou, Lang Cui, Jiabing Mei, Shengnan Li, Le Li, Wei Fan, Longsheng Zhang, Tianxi Liu
Summary: This study presents a polyimide sandwiched separator (s-PIF) for improving the cycling stability of Li-metal batteries. The s-PIF separator exhibits superior mechanical property, electrolyte adsorption/retention and ion conductivity, and enables dendrite-free Li plating/stripping process.
JOURNAL OF POWER SOURCES
(2024)